/// <summary>
/// Metoda tworzenia obiektu opcji tworzenia sieci na podstawie danych wprowadzonych do formularza.
/// </summary>
/// <returns>Obiekt opcji tworzenia sieci.</returns>
private OptionData CreateOptionDataFromForm()
{
OptionData option = new OptionData();
try
{
option.TrainingPath = textBoxTrainigPath.Text;
option.TrainingMinNumberOfPeriods = int.Parse(textBoxTrainingMinPeriod.Text);
option.TrainingMaxNumberOfPeriods = int.Parse(textBoxTrainingMaxPeriod.Text);
option.TrainingPeriodsStep = int.Parse(textBoxTrainingPeriodStep.Text);
option.MinTrainingPatterns = int.Parse(textBoxMinPattern.Text);
option.MaxTrainingPatterns = int.Parse(textBoxMaxPattern.Text);
option.TrainingPatternsStep = int.Parse(textBoxPatternStep.Text);
option.TrainingPatternsSearchStartDate = dateTimePickerTrain.Value;
option.TrainingExchangeDaysStep = int.Parse(textBoxTrainDateStep.Text);
option.TestPath = textBoxTestPath.Text;
option.TestMinNumberOfPeriods = int.Parse(textBoxTestMinPeriodNo.Text);
option.TestMaxNumberOfPeriods = int.Parse(textBoxTestMaxPeriodNo.Text);
option.TestPeriodsStep = int.Parse(textBoxTestPeriodStep.Text);
option.DesiredNumberOfPatterns = int.Parse(textBoxDesiredPatNo.Text);
option.TestPatternsSearchStartDate = dateTimePickerTest.Value;
option.TestExchangeDaysStep = int.Parse(textBoxTestDateStep.Text);
option.NetPath = textBoxNetPath.Text;
option.MaxEpochs = int.Parse(textBoxMaxEpochs.Text);
option.MinEpochs = int.Parse(textBoxMinEpochs.Text);
option.MaxEpochsMultiplierStep = double.Parse(textBoxEpochsStep.Text);
option.MinHiddenLayersMultiplier = double.Parse(textBoxMinHidden.Text);
option.MaxHiddenLayersMultiplier = double.Parse(textBoxMaxHidden.Text);
option.HiddenLayersMultiplierStep = double.Parse(textBoxHiddenStep.Text);
option.DesiredMSE = double.Parse(textBoxMSE.Text);
return option;
}
catch
{
return null;
}
}
/// <summary>
/// Metoda tworzenia nowych sieci neuronowych.
/// </summary>
/// <param name="option">Opcje tworzenia nowych sieci neuronowych</param>
public void CreateNewNeuralNets(OptionData option)
{
this.InitializationProgress = 0;
int numberOfSteps = 3;
int currentStep = 1;
Task t = new Task((Action)(
() =>
{
this.InitializationStatus = "Step " + currentStep.ToString() + "/" + numberOfSteps.ToString() + " : Generating training Data";
GenerateTrainingData(
option.TrainingPath,
option.TrainingMinNumberOfPeriods,
option.TrainingMaxNumberOfPeriods,
option.TrainingPeriodsStep,
option.MinTrainingPatterns,
option.MaxTrainingPatterns,
option.TrainingPatternsStep,
option.TrainingPatternsSearchStartDate,
option.TrainingExchangeDaysStep
);
this.InitializationProgress = (double)currentStep * 100 / numberOfSteps;
currentStep++;
this.InitializationStatus = "Step " + currentStep.ToString() + "/" + numberOfSteps.ToString() + " : Generating test Data";
GenerateTestData(
option.TestPath,
option.TestMinNumberOfPeriods,
option.TestMaxNumberOfPeriods,
option.TestPeriodsStep,
option.DesiredNumberOfPatterns,
option.TestPatternsSearchStartDate,
option.TestExchangeDaysStep
);
this.InitializationProgress = (double)currentStep * 100 / numberOfSteps;
currentStep++;
this.InitializationStatus = "Step " + currentStep.ToString() + "/" + numberOfSteps.ToString() + " : Creating and training networks";
CreateNetworks(
option.NetPath,
Path.GetDirectoryName(option.TrainingPath),
Path.GetDirectoryName(option.TestPath),
option.MaxEpochs,
option.MinEpochs,
option.MaxEpochsMultiplierStep,
option.MinHiddenLayersMultiplier,
option.MaxHiddenLayersMultiplier,
option.HiddenLayersMultiplierStep,
100 / (double)numberOfSteps,
option.DesiredMSE);
}
), TaskCreationOptions.LongRunning
);
t.Start();
}
